Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (6): 1537-1552.doi: 10.11821/dlxb202106015

• Tourism Geography • Previous Articles     Next Articles

A novel method for extracting spatial boundary of tourist activity based on circle structure

WU Zhaoning1(), LI Renjie1,2, GUO Fenghua3,4   

  1. 1. College of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050024, China
    2. Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China
    3. Hebei Institute of Geographical Sciences, Shijiazhuang 050011, China
    4. Hebei Engineering Research Center for Geographic Information Application, Shijiazhuang 050011, China
  • Received:2019-07-27 Revised:2020-10-03 Online:2021-06-25 Published:2021-08-25
  • Supported by:
    National Natural Science Foundation of China(41471127);National Natural Science Foundation of China(41171105);Hebei Science Fund of Distinguished Yong Scholars(D2015205208);Foundation for Talent Training Project in Hebei Province(A2016001130)


It is of great significance for tourism research to extract the spatial boundary of tourist activity, especially for optimizing the spatial structure of scenic spots, implementing boundary control and improving the utilization efficiency. Due to the complexity of tourist activity, it is difficult to identify the spatial boundary of tourist activity by using traditional method effectively. The study uses optimized Delaunay triangulation based on hierarchical clustering algorithm (ASCDT), instead of the points feature, which is dedicated to solving the problem of inaccurate spatial fitting in kernel density estimation at multi-scale. We analyze the spatial aggregation characteristic of tourist activity, and build the hierarchy based on concentric zone theory. Then we analyze the relations in geographic factors by using lots of spatiotemporal sign-in data, and propose a novel method for extracting the boundary of tourist activity, which is called "Hie-Density". "Hie-Density" is based on the spatial law of the expanding distribution. The study explores the macroscopic system evolution by the interaction of circle subsystems, and proves that "Hie-Density" can be used to discuss the multiple distribution patterns of spatial activity. According to the law of deviation in curve, it is easy to identify the optimal spatial boundary of tourist activity, the state of spatial aggregation, the characteristic of central splitting and the evolution direction of the spatial boundary. The cases show that the method is applicable to the complex spatial distribution structure. The study involves different kinds of scenic spots at multi-scales, so as to provide a new perspective and a novel method for geographical spatiotemporal data mining.

Key words: space of tourist activity, boundary extraction, concentric zone theory, Hie-Density, kernel density